Brewing Beer with Python @ PyCon UK 2018

Lightning talk at PyCon UK 2018 (https://2018.pyconuk.org) about generating beer recipes using Artificial Intelligence.

Transcript

1. Brewing Beer with Python
   @MarcoBonzanini
   PyCon UK 2018
   

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2. 1.Python
   2.Machine Learning when you don’t need it
   3.Over engineering for no reason
   4.Beer (in moderation)
   

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3. MALT
   WATER HOPS YEAST
   

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4. 1.Mashing (grain + water)
   2.Boiling (+ hops)
   3.Cooling
   4.Fermentation (+ yeast)
   

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5. Grain bill:
   2Kg Pilsner malt
   1Kg Pale malt
   1Kg Wheat malt
   1Kg Wheat flakes
   0.5Kg Munich malt
   0.5Kg Oat flakes
   Mash:
   30m at 55C
   60m at 67C
   15m at 75C
   Boil:
   40g Magnum @ 60m
   40g Mosaic @ 10m
   20g Coriander seeds @ 10m
   In fermenter: 5 gallons
   Fermentation: 2 weeks at 20C
   Yeast: M21
   OG: 1.059
   FG: 1.015
   IBU: 64
   

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6. Grain bill:
   2Kg Pilsner malt
   1Kg Pale malt
   1Kg Wheat malt
   1Kg Wheat flakes
   0.5Kg Munich malt
   0.5Kg Oat flakes
   Mash:
   30m at 55C
   60m at 67C
   15m at 75C
   Boil:
   40g Magnum @ 60m
   40g Mosaic @ 10m
   20g Coriander seeds @ 10m
   In fermenter: 5 gallons
   Fermentation: 2 weeks at 20C
   Yeast: M21
   OG: 1.059
   FG: 1.015
   IBU: 64
   

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10. Neural Networks
    

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11. Recurrent Neural Networks (RNN)
    http://colah.github.io/posts/2015-08-Understanding-LSTMs/
    

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12. RNN unrolled
    http://colah.github.io/posts/2015-08-Understanding-LSTMs/
    

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13. Long Short Term Memory (LSTM)
    http://colah.github.io/posts/2015-08-Understanding-LSTMs/
    

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